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Jaqpot 5: How to simulate biodistribution scenarios using custom PBPK models

Haralambos Sarimveis


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    <dct:description>&lt;p&gt;Jaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI&amp;nbsp; directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis.&amp;nbsp;&amp;nbsp; The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5,&amp;nbsp; by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models.&amp;nbsp; Jaqpot 5 has been developed by the &lt;a href="https://www.chemeng.ntua.gr/labs/control_lab/index.html"&gt;Unit of Process Control and Informatics&lt;/a&gt; in the School of Chemical Engineering at the National Technical University of Athens.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;This document provides a tutorial for simulating biodistribution scenarios using custom PBPK models that have been deployed on Jaqpot5. The resource has been made available at &lt;a href="https://app.jaqpot.org/"&gt;https://app.jaqpot.org/&lt;/a&gt;.&lt;/p&gt;</dct:description>
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